CN106952182A - A kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature - Google Patents
A kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature Download PDFInfo
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- 238000004804 winding Methods 0.000 title claims abstract description 73
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- 230000005484 gravity Effects 0.000 claims description 35
- 239000002828 fuel tank Substances 0.000 claims description 10
- 230000001052 transient effect Effects 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 abstract description 16
- 238000001514 detection method Methods 0.000 abstract description 6
- 238000011160 research Methods 0.000 abstract description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 6
- 238000003745 diagnosis Methods 0.000 description 5
- 238000005070 sampling Methods 0.000 description 5
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The embodiment of the invention discloses a kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature, experimental analysis research is basically used for for solving the current transformer state detection method based on vibration analysis method, the technical problem for a set of Winding in Power Transformer method for diagnosing faults based on vibration analysis method for being directed to live real transformer can not be used.Present invention method includes:Obtain the vibration signal of the tank surface of the input voltage signal, load current signal and power transformer of the synchronized power transformer sampled and obtained;The characteristic quantity of vibration distribution under different loads is calculated according to input voltage signal, load current signal and vibration signal;According to characteristic quantity judge power transformer winding whether failure.
Description
Technical field
The present invention relates to signal processing technology field, more particularly to a kind of power transformer based on vibration distribution feature around
Group method for diagnosing faults.
Background technology
Large-scale power transformer is one of key equipment used in power industry, and its health status directly affects power network
The security of power Transmission, reliability and economic benefit in system.The critical piece of transformer includes winding and iron core, and the two is all
It is the source block that transformer vibration is produced, is also the major failure part of transformer.Most of transformer catastrophe failure is by winding
Produce, often lead to flood tide economic loss and Heavy environmental pollution, thus the Study on Fault of Transformer Winding has significant show
Sincere justice.
During transformer station high-voltage side bus, the voltage of input make it that iron core produces vibration, the alternating current of load because of magnetostrictive effect
Then so that winding produces vibration because of electromagnetic force.By winding, being connected between iron core and oil tank wall, and each part and fuel tank
The vibration of the solid-liquid coupling of middle insulating oil, winding and iron core is delivered to insulation oil meter face and produces superpositing vibration.Vibration analysis method can
So that by analyzing the vibration measured from transformer oil tank wall, detection may trigger the mechanical structure of transformer major accident to lack
Fall into.This method has the advantage of continuity, non-invasi and on-line monitoring, and is not electrically connected with power system, with very
Good application and development prospect.
For normal transformer, when the timing of exciting force one that electric current and voltage are produced, mechanical structure stable winding and iron
The metastable vibration that core is produced is delivered to tank surface through supporting mechanism and insulating oil, in shaking for tank surface diverse location
Dynamic distribution is held essentially constant, but is changed when the mechanically stable characteristics such as deformation of cylindrical, inclination, displacement, loosening occur for Transformer Winding
During change, the vibration that winding is produced changes, and the vibration distribution of tank surface also changes therewith.If can be to oil tank of transformer
Surface vibration signals carry out the research and extraction of distribution characteristics, find the pass between its changing features and transformer winding fault
System, the then sensitivity of the transformer state detection method based on vibration analysis method just has new room for promotion.
However, the current transformer state detection method based on vibration analysis method is basically used for experimental analysis research, and
It is no to use a set of Winding in Power Transformer fault diagnosis based on vibration analysis method for being directed to live real transformer
Method.
The content of the invention
The embodiments of the invention provide a kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature, solution
The current transformer state detection method based on vibration analysis method of having determined is basically used for experimental analysis research, can not transport
With the technology for a set of Winding in Power Transformer method for diagnosing faults based on vibration analysis method for being directed to live real transformer
Problem.
A kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature provided in an embodiment of the present invention, bag
Include:
Obtain input voltage signal, load current signal and the power transformer of the synchronized power transformer sampled and obtained
Tank surface vibration signal;
The feature of vibration distribution under different loads is calculated according to input voltage signal, load current signal and vibration signal
Amount;
According to characteristic quantity judge power transformer winding whether failure.
Alternatively, input voltage signal, load current signal and the electricity of the synchronized power transformer sampled and obtained are obtained
Include before the vibration signal of the tank surface of power transformer:
Using the surface of the fuel tank of power transformer as xoy planes, and with the geometry on the surface of the fuel tank of power transformer
The heart sets up coordinate system as the origin of coordinates.
Alternatively, characteristic quantity includes:Vibration vector and, vibration amplitude center of gravity and transient vibration barycenter trajectory.
Alternatively, judge whether failure includes for the winding of power transformer according to characteristic quantity:
Whether power transformer more than predetermined threshold value is judged according to the offset of the vibration amplitude center of gravity of power transformer
Winding whether failure, if so, the then winding failure of power transformer, otherwise, failure is not present in the winding of power transformer.
Alternatively, the offset of vibration amplitude center of gravity can be determined by formula six, and formula six is specially:
Wherein, DbiasFor the offset of vibration amplitude center of gravity, xac,yacFor the vibration amplitude center of gravity currently measured, x0,y0For
Vibration amplitude center of gravity when winding is normal, xtank,ytankFor the length and width dimensional parameters of fuel tank.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below:
The embodiments of the invention provide a kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature, bag
Include:Obtain the oil of the input voltage signal, load current signal and power transformer of the synchronized power transformer sampled and obtained
The vibration signal on case surface;Calculated and vibrated under different loads according to input voltage signal, load current signal and vibration signal
The characteristic quantity of distribution;According to characteristic quantity judge power transformer winding whether failure, the embodiment of the present invention is by defining transformation
Device vibrates the spatial distribution characteristic in tank surface, and the distribution of the working condition of winding and external vibration is connected, from new
Angle provide transformer winding fault diagnose foundation, realize the winding failure based on oscillation space distribution characteristics and examine
Disconnected, the vibration measurement data for being directly based upon oil tank of transformer surface for researcher carry out winding failure and provide new method, and
There is provided corresponding foundation and standard.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is a kind of Winding in Power Transformer fault diagnosis side based on vibration distribution feature provided in an embodiment of the present invention
The schematic flow sheet of method.
Fig. 2 is that tank surface measuring point provided in an embodiment of the present invention is distributed the schematic diagram for setting up coordinate system;
Fig. 3 is that normal winding provided in an embodiment of the present invention and failure winding each harmonic signal vibration amplitude center of gravity are contrasted
Schematic diagram;
Fig. 4 is 12 hour record curve examples of transformer vibration amplitude gravity center shift trend provided in an embodiment of the present invention
Schematic diagram;
Fig. 5 is experimental field figure provided in an embodiment of the present invention.
Embodiment
The embodiments of the invention provide a kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature, use
Experimental analysis research is basically used in solving the current transformer state detection method based on vibration analysis method, can be with
With the skill for a set of Winding in Power Transformer method for diagnosing faults based on vibration analysis method for being directed to live real transformer
Art problem.
To enable goal of the invention of the invention, feature, advantage more obvious and understandable, below in conjunction with the present invention
Accompanying drawing in embodiment, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of embodiment of the invention, and not all embodiment.Based on the embodiment in the present invention, this area
All other embodiment that those of ordinary skill is obtained under the premise of creative work is not made, belongs to protection of the present invention
Scope.
Referring to Fig. 1, a kind of Winding in Power Transformer failure based on vibration distribution feature provided in an embodiment of the present invention
Diagnostic method, including:
101st, input voltage signal, load current signal and the electric power for obtaining the synchronized power transformer sampled and obtained become
The vibration signal of the tank surface of depressor;
First, input voltage signal, the load electricity of power transformer are obtained by synchronized sampling under load operation conditions
The vibration signal at signal and a certain position of power transformer tank surface is flowed, obtaining the data of one day can substantially obtain
The Vibration Condition of power transformer under different electric currents, voltage.
102nd, vibration distribution under different loads is calculated according to input voltage signal, load current signal and vibration signal
Characteristic quantity;
Then, vibration distribution under different loads is calculated according to input voltage signal, load current signal and vibration signal
Characteristic quantity, including:Vibration vector and vibration amplitude center of gravity and transient vibration barycenter trajectory.
Wherein, vibration vector and, the implication of vibration amplitude center of gravity and transient vibration barycenter trajectory is specific as follows:
Vibration vector and:
Vibration amplitude center of gravity:
Vibration amplitude gravity center shift trend:
Wherein, each variable-definition is as follows:
I is the mark of i-th of vibration pickup point the data obtained;
xi,yiThe transverse and longitudinal coordinate of i-th of measuring point is represented respectively;
vi,j100, represent the jth subharmonic of 100Hz fundamental frequency signals on i-th of measuring point
Therefore, input voltage signal, load current signal and the electricity of the synchronized power transformer sampled and obtained are being obtained
Before the vibration signal of the tank surface of power transformer, put down by xoy of the side surface of the fuel tank placement sensor of power transformer
Face, its geometric center is the origin of coordinates, sets up coordinate system, as shown in Figure 2.
103rd, according to characteristic quantity judge power transformer winding whether failure.
Finally, according to characteristic quantity be can determine whether power transformer winding whether failure.Because the vibration of winding is by wherein
The electromagnetic force of the electric current passed through is produced, and the higher harmonic components in vibrating are main by core vibration is coupled, therefore respectively
The analysis of vibration distribution characteristic quantity is concentrated mainly in 100Hz frequency.Using 100Hz fundamental frequency signals as analysis object, make
Its vibration amplitude center of gravity and transient vibration barycenter trajectory, according to its characteristic quantity under different loads, pass through substantial amounts of experiment number
According to formulation dependent thresholds, you can determine whether whether Transformer Winding has damage.
Due to current loading situation, the influence of the difference factor such as transformer device structure, the selection of specific threshold value needs comprehensive examine
Consider the characteristic of target transformer, and determined on the basis of certain amount transformer distribution character is investigated.In order to control variable with
Illustrate influence of the winding deformation to vibration distribution feature, now with same group of winding before failure after Oscillation Amplitude center of gravity and instantaneous
Explained exemplified by the change of center of vibration track.The winding carries out destructive test in the form of short-circuit impact, is made with reaching
Generation deformation purpose, and before and after short-circuit impact loading 10% to 100% current loading, to simulate real transformer
The change of winding vibration distribution feature under the operating mode of different loads electric current.
When winding state is normal, due to being connected component, the position of amplitude center of gravity should be inclined in oil tank wall center
Under.And when winding is deformed, its amplitude center of gravity will be shifted up in vertical direction, it can offset in the horizontal direction, such as Fig. 3 institutes
Show.
12 hour record figure lines of certain transformer vibration amplitude gravity center shift trend are illustrated in Fig. 4, it can be seen that as
One normal transformer, its vibration amplitude center of gravity be confined to during measuring one it is relatively small within the scope of, pass through monitoring
Amplitude center of gravity changes with time, and can reach the purpose of monitoring transformer failure that may be present.
The formula six of specific diagnosis winding deformation can be written as the offset of form, i.e. vibration amplitude center of gravity:
Because the structure of each transformer is different, fault diagnosis need to refer to winding it is normal when vibration amplitude center of gravity, will
Vibration amplitude center of gravity when winding is normal is denoted as (x0,y0), currently measure obtained vibration amplitude center of gravity and be denoted as (xac,yac),
xtank,ytankFor the length and width dimensional parameters of fuel tank, the skew of striked vibration amplitude center of gravity is remembered relative to the ratio of fuel tank size
Make Dbias, it is 10% to take threshold value, namely works as DbiasWhen >=10%, it is believed that survey winding have there is failure, it is necessary to
Further check and confirm.Sentence i.e. according to whether the offset of the vibration amplitude center of gravity of power transformer is more than predetermined threshold value 10%
The winding of disconnected power transformer whether failure, it is no if so, then the winding failure of power transformer confirms, it is necessary to further check
Then, failure is not present in the winding of power transformer.
In order to make it easy to understand, below will be with a specific embodiment to provided in an embodiment of the present invention a kind of based on vibration distribution
The Winding in Power Transformer method for diagnosing faults of feature is described in detail.
As shown in figure 5, specific experiment object is a 500kV single-phase oil immersion type power transformer.Voltage, electric current and vibration
Sampling apparatus include preposition amplification, anti-aliasing filter, AD sample etc. main modular, in order to be able to obtain the data of degree of precision,
AD sampling resolutions at least 12, frequency overlapped-resistable filter cut-off frequency is 2000Hz.When carrying out vibration signal sampling, sample frequency is extremely
It is 8192Hz less.The sensitivity of used vibrating sensor is at least 100mv/g.In the present embodiment, vibration signal is gathered
Sample frequency is set to 8192Hz, and A/D module samples digit is 12, and the sensitivity of vibrating sensor is 500mv/g, and is used
Pattern at interval of continuous sampling 1 second in 1 minute comes collection voltages, electric current and vibration signal.
Piezoelectric acceleration sensor is arranged on transformer oil tank wall according to equidistant equally distributed principle, it is recorded
Coordinate system is simultaneously set up in position according to the mechanical dimension of oil tank wall, is that each measuring point determines respective position weight, for formula (2)
The basis of amplitude center of gravity and vibration amplitude gravity center shift trend in~formula (5).
Test constantly (such as 24 hours) is carried out to transformer vibration, record data simultaneously draws tested transformer in different loads
Vibration amplitude center of gravity and transient vibration barycenter trajectory under situation, calculate its respective graphical information, include the position of amplitude center of gravity
With, the main shaft slope deflection of transient vibration barycenter trajectory, and compared with the threshold value of formulation, so as to make on Transformer Winding
The diagnosis of failure.
The embodiments of the invention provide a kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature, bag
Include:Obtain the oil of the input voltage signal, load current signal and power transformer of the synchronized power transformer sampled and obtained
The vibration signal on case surface;Calculated and vibrated under different loads according to input voltage signal, load current signal and vibration signal
The characteristic quantity of distribution;According to characteristic quantity judge power transformer winding whether failure, the embodiment of the present invention is by defining transformation
Device vibrates the spatial distribution characteristic in tank surface, and the distribution of the working condition of winding and external vibration is connected, from new
Angle provide transformer winding fault diagnose foundation, realize the winding failure based on oscillation space distribution characteristics and examine
Disconnected, the vibration measurement data for being directly based upon oil tank of transformer surface for researcher carry out winding failure and provide new method, and
There is provided corresponding foundation and standard.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to before
Embodiment is stated the present invention is described in detail, it will be understood by those within the art that:It still can be to preceding
State the technical scheme described in each embodiment to modify, or equivalent is carried out to which part technical characteristic;And these
Modification is replaced, and the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (5)
1. a kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature, it is characterised in that including:
Obtain input voltage signal, load current signal and the power transformer of the synchronized power transformer sampled and obtained
Tank surface vibration signal;
Vibration distribution under different loads is calculated according to the input voltage signal, load current signal and the vibration signal
Characteristic quantity;
According to the characteristic quantity judge the power transformer winding whether failure.
2. the Winding in Power Transformer method for diagnosing faults according to claim 1 based on vibration distribution feature, its feature
It is, input voltage signal, load current signal and the electric power for obtaining the synchronized power transformer sampled and obtained
Include before the vibration signal of the tank surface of transformer:
Using the surface of the fuel tank of the power transformer as xoy planes, and with the several of the surface of the fuel tank of the power transformer
What center sets up coordinate system as the origin of coordinates.
3. the Winding in Power Transformer method for diagnosing faults according to claim 1 based on vibration distribution feature, its feature
It is that the characteristic quantity includes:Vibration vector and, vibration amplitude center of gravity and transient vibration barycenter trajectory.
4. the Winding in Power Transformer method for diagnosing faults according to claim 3 based on vibration distribution feature, its feature
It is, it is described to judge whether failure includes for the winding of the power transformer according to the characteristic quantity:
Whether more than predetermined threshold value judge that the electric power becomes according to the offset of the vibration amplitude center of gravity of the power transformer
The winding of depressor whether failure, if so, the then winding failure of the power transformer, otherwise, the winding of the power transformer
In the absence of failure.
5. the Winding in Power Transformer method for diagnosing faults according to claim 4 based on vibration distribution feature, its feature
It is that the offset of the vibration amplitude center of gravity can be determined by formula six, the formula six is specially:
Wherein, DbiasFor the offset of vibration amplitude center of gravity, xac,yacFor the vibration amplitude center of gravity currently measured, x0,y0For winding
Vibration amplitude center of gravity when normal, xtank,ytankFor the length and width dimensional parameters of fuel tank.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109030998A (en) * | 2018-07-19 | 2018-12-18 | 浙江浙能常山天然气发电有限公司 | A kind of intelligent transformer monitoring system based on three shaft vibration technologies |
CN112986870A (en) * | 2021-01-26 | 2021-06-18 | 国网江苏省电力有限公司南京供电分公司 | Distributed power transformer winding state monitoring method and system based on vibration method |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101709995A (en) * | 2009-12-24 | 2010-05-19 | 浙江大学 | Methods for vibration online monitoring and fault diagnosis of power transformer |
CN102798798A (en) * | 2012-08-07 | 2012-11-28 | 浙江大学 | Power transformer winding deformation detection method based on vibration analysis |
CN202720283U (en) * | 2012-06-13 | 2013-02-06 | 江苏省电力公司南京供电公司 | Power transformer winding fault simulation test system based on vibration signal diagnosis |
CN203241071U (en) * | 2013-02-06 | 2013-10-16 | 国网浙江温岭市供电公司 | A power transformer remote fault diagnosis system based on Internet |
CN103513138A (en) * | 2013-10-15 | 2014-01-15 | 国家电网公司 | Transformer winding and iron core fault diagnosis method based on vibration characteristic |
CN204228368U (en) * | 2014-10-29 | 2015-03-25 | 云南电网公司电力科学研究院 | A kind of transformer on-line fault diagnosis pick-up unit |
CN105300512A (en) * | 2015-11-12 | 2016-02-03 | 中国船舶重工集团公司第七一六研究所 | Obtaining method of vibration direction angle with vibration source deviating from mass center |
EP3062436A1 (en) * | 2015-02-24 | 2016-08-31 | Siemens Aktiengesellschaft | Method of responding to a winding fault |
-
2017
- 2017-03-24 CN CN201710183150.4A patent/CN106952182B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101709995A (en) * | 2009-12-24 | 2010-05-19 | 浙江大学 | Methods for vibration online monitoring and fault diagnosis of power transformer |
CN202720283U (en) * | 2012-06-13 | 2013-02-06 | 江苏省电力公司南京供电公司 | Power transformer winding fault simulation test system based on vibration signal diagnosis |
CN102798798A (en) * | 2012-08-07 | 2012-11-28 | 浙江大学 | Power transformer winding deformation detection method based on vibration analysis |
CN203241071U (en) * | 2013-02-06 | 2013-10-16 | 国网浙江温岭市供电公司 | A power transformer remote fault diagnosis system based on Internet |
CN103513138A (en) * | 2013-10-15 | 2014-01-15 | 国家电网公司 | Transformer winding and iron core fault diagnosis method based on vibration characteristic |
CN204228368U (en) * | 2014-10-29 | 2015-03-25 | 云南电网公司电力科学研究院 | A kind of transformer on-line fault diagnosis pick-up unit |
EP3062436A1 (en) * | 2015-02-24 | 2016-08-31 | Siemens Aktiengesellschaft | Method of responding to a winding fault |
CN105300512A (en) * | 2015-11-12 | 2016-02-03 | 中国船舶重工集团公司第七一六研究所 | Obtaining method of vibration direction angle with vibration source deviating from mass center |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109030998A (en) * | 2018-07-19 | 2018-12-18 | 浙江浙能常山天然气发电有限公司 | A kind of intelligent transformer monitoring system based on three shaft vibration technologies |
CN109030998B (en) * | 2018-07-19 | 2023-01-20 | 浙江浙能常山天然气发电有限公司 | Intelligent transformer monitoring system based on triaxial vibration technology |
CN112986870A (en) * | 2021-01-26 | 2021-06-18 | 国网江苏省电力有限公司南京供电分公司 | Distributed power transformer winding state monitoring method and system based on vibration method |
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